Logistic performance evaluation of provinces in Turkey: A GIS-based multi-criteria decision analysis

Özceylan, Eren; Çetinkaya, Cihan; Erbaş, Mehmet; Kabak, Mehmet

doi:10.1016/j.tra.2016.09.020

Cited by 32 publications

(12 citation statements)

References 39 publications

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“…In this case, a matrix composed of preference relations ( p k s) are formed as given in Eq. (20). Table 2 Obtained envelops for the HFLTS given in Table 1 Goal F1 F2 F3 F4 F5 F6 F7 HFLTS intervals for DM1's evaluations where p k i j shows the degree of preference of the alternative x i over x j according to expert e k .…”

Section: Definitionmentioning

confidence: 99%

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A hesitant fuzzy linguistic term sets-based AHP approach for analyzing the performance evaluation factors: an application to cargo sector

Tüysüz

Şimşek

2017

Complex Intell. Syst.

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One of the important points in performance measurement and evaluation is determining the relative importance of the metrics used. The aim of this study is to present a fuzzy multi-criteria decision-making approach for evaluating the factors used for performance evaluation. Hesitant fuzzy sets-based analytic hierarchy process method, which is an effective and successful approach to deal with uncertainty, is proposed for analyzing the factors affecting the performance of the branches of a cargo company in Turkey and also for prioritizing them according to their level of importance.

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Section: Definitionmentioning

confidence: 99%

“…Özceylan et al [20] propose a GIS-based multi-criteria decision analysis approach for the logistics performance evaluation of provinces in Turkey. They use AHP, ANP and TOPSIS methods prioritizing the indicators and ranking the provinces.…”

Section: Introductionmentioning

confidence: 99%

A hesitant fuzzy linguistic term sets-based AHP approach for analyzing the performance evaluation factors: an application to cargo sector

Tüysüz

Şimşek

2017

Complex Intell. Syst.

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“…Demirel et al [26] use a hybrid method composed of fuzzy AHP and ELECTRE to select the most effective roll stabilizing system to be used in a trawler type fishing boat. Although they do not use a fuzzy method, in the further research part of their conclusion, Özceylan et al [27] mention some shortcomings of their research, and advise researchers to adopt fuzzy multi criteria decision making approaches like fuzzy AHP to cope with fuzziness.…”

Section: Methodsmentioning

confidence: 99%

A Decision-Support Tool for Demolition Sale of a Vessel

Akdemir

Beşkese

2019

brod

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The fundamental goal of any business is to create value for its owners. In shipping, the value is not only created with freight income, but also with the trade of the vessel itself. A ship has a limited lifetime and can be traded in different markets. The lowest value it will ever receive is its scrap price. An owner may decide to sell a vessel to scrap due to various reasons together with her physical condition and age. In this paper, a fuzzy Analytic Hierarchy Process based decision model is used to provide practitioners with a decision support tool for demolition sale versus further trading of a vessel. The usage of the tool is further illustrated with five actual cases.

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“…Yang and Chen [26] compared and explored three major international hub ports in Northeast Asia according to logistics competitiveness by using AHP and Grey Relational Analysis (GRA). Ozceylan et al [27] considered logistics competitiveness evaluation of Turkey's provinces. They used geographic information system and MCDM tools to determine logistics scores of 16 geographic and economic indicators.…”

Section: Logistics Competitiveness Evaluationmentioning

confidence: 99%

“…The factors are grouped as: supply and demand capability, economic development capability and transportation development level. Ozceylan et al [27] proposed that the logistic performance of a province can be addressed within three main dimensions: freight transaction factors, transportation capability factors, and economic and infrastructure factors.…”

Section: The Dataset and Criteria For Logistics Competitivenessmentioning

confidence: 99%

Logistics competitiveness of OECD countries using an improved TODIM method

Özmen

2019

Sādhanā

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The Organization for Economic Cooperation and Development (OECD) provides a forum where governments can work together to increase the global welfare and to seek solutions to common problems through economic growth, where logistics plays an important role and contributes to financial stability. Evaluation of the logistics competitiveness of countries is a technical decision-making issue involving a variety of criteria. Most importantly, these criteria usually conflict with each other and they often act and react upon one another. As in logistics competitiveness as well as in many decision-making problems, the relationships among criteria are interdependent. Moreover, different dimensions and criteria weights also affect the evaluation results. By considering these situations, in order to handle these criteria interactions, Mahalanobis distance (MD) based TODIM (an acronym in Portuguese for Interactive and Multicriteria Decision Making) method has been developed and it has been applied to evaluate the logistics competitiveness of the OECD countries. Evaluation of the correlation between criteria develops the consideration outcomes (regarding sorting) to a certain degree with the traditional TODIM method.

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Logistic performance evaluation of provinces in Turkey: A GIS-based multi-criteria decision analysis

Cited by 32 publications

References 39 publications

A hesitant fuzzy linguistic term sets-based AHP approach for analyzing the performance evaluation factors: an application to cargo sector

A hesitant fuzzy linguistic term sets-based AHP approach for analyzing the performance evaluation factors: an application to cargo sector

A Decision-Support Tool for Demolition Sale of a Vessel

Logistics competitiveness of OECD countries using an improved TODIM method

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